Freelancer profile translated to English.
Back to original languageAbout Botan
Experienced and passionate Data Scientist focused on innovation, I have contributed to ambitious projects combining Artificial Intelligence, Machine Learning, and advanced technologies for startups and large companies in various sectors, notably finance, defense, and space.
I have contributed to various projects at Klark, Delfox, Deepn, Airbus, Thales, and Nexter. At Klark, I designed agent workflows based on LLMs. At Delfox, I optimized architectures, developed massive data pipelines, created simulation environments for fighter jets, and researched reinforcement learning algorithms to improve decision-making capabilities. By co-founding Deepn, I created an algorithmic trading platform with a dedicated language. At Airbus, I worked on video analysis models and autonomous systems.
My experience includes:
- Design of advanced Deep Learning (computer vision, NLP) and Reinforcement Learning models for complex applications.
- Embedded systems and simulations: Creation of simulated environments in Unreal Engine and development of high-performance embedded systems for defense.
- Programming languages: Expertise in Python, Java, C++, and Rust, with a specialization in system optimization and scalability.
Technical skills:
- AI & Machine Learning: Expertise in PyTorch, TensorFlow, LangChain, RLlib, Transformers.
- Cloud and Big Data: Deployment on AWS/GCP, data pipelines with Spark, Docker/Kubernetes.
- Simulation & embedded systems: Development under Unreal Engine, ROS, and C++ modeling.
Curious and solutions-oriented, I will support you in integrating AI solutions, creating custom models, and optimizing your technical workflows. I am committed to delivering concrete results while respecting your deadlines and objectives.
Ready to take on your challenges!
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- BeRealLead Data ScientistSOCIAL NETWORKSJanuary 2025 - Today (1 year and 5 months)Paris, FranceDeveloped advanced recommendation systems to enhance content personalizationand user engagement (ranking models, embeddings, hybrid filtering)• Designed scalable and robust ML models for content ranking, trend detection, anddynamic content surfacing• Built and optimized large-scale data pipelines including real-time feature engineer-ing, latency reduction, and performance tuning• Deployed, monitored, and iteratively improved production models to support real-time content discovery workflows• Collaborated with Product and Infrastructure teams to integrate models into the Be-Real experience and improve engagement KPIs (retention, CTR, session duration)
- KlarkML Engineer | Backend DeveloperSOFTWARE PUBLISHINGApril 2024 - December 2024 (8 months)Bordeaux, France• Developed advanced RAG systems and LLM-based Agent workflows for auto-mated customer support answering and email draft writing, deployed across more than50 clients’ CRMs (COT, self-reflective RAG, LLM as re-ranker, ReACT, ...)• LLM finetuning and Retriever adaptation for specific tasks and client applica-tions (both on open-source and proprietary models)• Worked on diverse NLP tasks including: FAQ generation, message clustering, ticketcategorization, text translation, ...
- Delfox – Defense & SpaceML Engineer | RL ResearcherAVIATION AND AEROSPACESeptember 2022 - April 2024 (1 year and 7 months)Bordeaux, France• Conducted research projects in Reinforcement Learning, focusing on cutting-edge algorithms and techniques• Developed and simulated embedded systems and fighter aircraft models to enhance flight behaviors and decision-making capabilities• Researched and implemented efficient Transformer architectures (e.g., Efficient Transformer, Fast Attention) to improve model speed and scalability• Stayed at the forefront of AI advancements by reviewing and implementing state-of the-art research papers in Reinforcement Learning• Established data pipelines for processing and managing large-scale datasets, ensur ing efficient data flow and availability• Created simulation environments in C++ using Unreal Engine, enabling realistic testing and training scenarios
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Education
- Master of ScienceÉCOLE SUPÉRIEURE DE GÉNIE INFORMATIQUE2022Deep Learning, Statistical Learning, Reinforcement Learning, Bayesian optimization, Time Series, Com- puter Vision, Graph modeling
- Bachelor of Science in Computer ScienceÉCOLE SUPÉRIEURE DE GÉNIE INFORMATIQUE2020Algorithms, Data Structures, Discrete Mathemat- ics, Linear Algebra, Probability, Calculus, Numerical Methods, Operating Systems, Computer Architec- ture, Low-level Programming (C/C++), and Theory of Computation